Visual Data Mining (eBook, PDF)

Theory, Techniques and Tools for Visual Analytics
Redaktion: Simoff, Simeon; Mazeika, Arturas; Böhlen, Michael H.

• Format: PDF

Produktbeschreibung

The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected.

This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 407
• Erscheinungstermin: 23. Juli 2008
• Englisch
• ISBN-13: 9783540710806
• Artikelnr.: 44127956